Evidence map›Paper›PMID 38937684›Full record

ArticleBMC psychiatry2024

Using polygenic scores in combination with symptom rating scales to identify attention-deficit/hyperactivity disorder.

André Høberg, Berit Skretting Solberg, Tor-Arne Hegvik, Jan Haavik

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

André HøbergDepartment of Biomedicine, University of Bergen, Bergen, 5009, Norway. niz015@uib.no.
Berit Skretting SolbergDepartment of Biomedicine, University of Bergen, Bergen, 5009, Norway.
Tor-Arne HegvikClinic of Surgery, St. Olavs Hospital, Trondheim, Norway.
Jan HaavikDepartment of Biomedicine, University of Bergen, Bergen, 5009, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe inclusion of biomarkers could improve diagnostic accuracy of attention-deficit/hyperactivity disorder (ADHD). One potential biomarker is the ADHD polygenic score (PGS), a measure of genetic liability for ADHD. This study aimed to investigate if the ADHD PGS can provide additional information alongside ADHD rating scales and examination of family history of ADHD to distinguish between ADHD cases and controls.

methodsPolygenic scores were calculated for 576 adults with ADHD and 530 ethnically matched controls. ADHD PGS was used alongside scores from the Wender-Utah Rating Scale (WURS) and the Adult ADHD Self-Report Scale (ASRS) as predictors of ADHD diagnosis in a set of nested logistic regression models. These models were compared by likelihood ratio (LR) tests, Akaike information criterion corrected for small samples (AICc), and Lee R². These analyses were repeated with family history of ADHD as a covariate in all models.

resultsThe ADHD PGS increased the variance explained of the ASRS by 0.58% points (pp) (R

conclusionWe found that the ADHD PGS contributed additional information to common diagnostic aids. However, the increase in variance explained was small, suggesting that the ADHD PGS is currently not a clinically useful diagnostic aid. Future studies should examine the utility of ADHD PGS in ADHD prediction alongside non-genetic risk factors, and the diagnostic utility of the ADHD PGS should be evaluated as more genetic data is accumulated and computational tools are further refined.

Indexed as

Attention Deficit Disorder with HyperactivityMultifactorial InheritancePsychiatric Status Rating ScalesAdultCase-Control StudiesFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedSelf ReportAttention deficit hyperactivity disorderDiagnosisGeneticsPolygenic risk scorePolygenic scorePrediction

Identifiers

PMID38937684
PMCPMC11210094

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.